The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "41227176 (up from 40783425 yesterday: 1.09 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1131308 (up from 1124745 yesterday: 0.58 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7256146

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.74



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8336031 62735 0.76 1102989 222176 1124 0.51 2.67
India 7706946 55839 0.73 1394362 116616 702 0.61 1.51
Brazil 5298772 24818 0.47 487837 155403 566 0.37 2.93
Russia 1438219 15444 1.09 267420 24786 313 1.28 1.72
Argentina 1037325 18326 1.80 286324 27519 419 1.55 2.65
Spain 1005295 16973 1.72 236107 34366 156 0.46 3.42
France 1000369 27094 2.78 396338 34075 147 0.43 3.41
Colombia 981700 7561 0.78 152021 29464 192 0.66 3.00
Peru 874118 3242 0.37 62350 33875 55 0.16 3.88
Mexico 867559 6845 0.80 124343 87415 522 0.60 10.08
United Kingdom 792194 26707 3.49 336348 44248 191 0.43 5.59
South Africa 708359 2055 0.29 34020 18741 85 0.46 2.65
Iran 545286 5616 1.04 88067 31346 312 1.01 5.75
Chile 495637 1159 0.23 32646 13719 17 0.12 2.77
Italy 449648 15199 3.50 134787 36832 127 0.35 8.19
Iraq 438265 3667 0.84 75284 10418 52 0.50 2.38
Germany 397922 12331 3.20 105009 9911 29 0.29 2.49
Bangladesh 393131 1545 0.39 29652 5723 24 0.42 1.46
Indonesia 373109 4267 1.16 86101 12857 123 0.97 3.45
Philippines 362243 1468 0.41 50549 6747 57 0.85 1.86
Turkey 353426 2013 0.57 34763 9513 68 0.72 2.69
Saudi Arabia 343373 405 0.12 8768 5235 18 0.35 1.52
Pakistan 325480 736 0.23 12674 6702 10 0.15 2.06
Ukraine 324942 6975 2.19 110496 6093 145 2.44 1.88
Israel 307335 1173 0.38 61841 2291 13 0.57 0.75
Netherlands 259207 8796 3.51 133219 6934 60 0.87 2.68
Belgium 253386 13227 5.51 134934 10539 50 0.48 4.16
Canada 209036 2687 1.30 47929 9883 34 0.35 4.73
Czechia 208915 14969 7.72 139996 1739 120 7.41 0.83
Poland 202579 10040 5.21 111065 3851 130 3.49 1.90
Romania 191102 4848 2.60 63530 6065 69 1.15 3.17
Morocco 182580 3577 2.00 58927 3079 52 1.72 1.69
Ecuador 155625 1510 0.98 18578 12453 49 0.40 8.00
Nepal 144872 5743 4.13 67055 791 26 3.40 0.55
Bolivia 140228 191 0.14 4917 8558 32 0.38 6.10
Qatar 130210 266 0.20 4450 225 1 0.45 0.17
Panama 126435 696 0.55 13840 2597 12 0.46 2.05
Dominican Republic 122398 425 0.35 10189 2206 2 0.09 1.80
United Arab Emirates 119132 1538 1.31 24942 472 2 0.43 0.40
Kuwait 118531 813 0.69 13349 721 7 0.98 0.61
Oman 111484 451 0.41 12899 1137 15 1.34 1.02
Kazakhstan 109907 141 0.13 1928 1796 0 0.00 1.63
Sweden 107355 975 0.92 14492 5929 7 0.12 5.52
Portugal 106271 2535 2.44 30729 2229 16 0.72 2.10
Egypt 105883 178 0.17 2685 6155 13 0.21 5.81
Guatemala 102415 196 0.19 10669 3567 21 0.59 3.48
Costa Rica 99425 1503 1.53 23665 1236 14 1.15 1.24
Japan 94515 620 0.66 10924 1686 7 0.42 1.78
Switzerland 91763 5596 6.49 38481 2039 -106 -4.94 2.22
Ethiopia 91118 628 0.69 15750 1384 13 0.95 1.52
Honduras 91078 846 0.94 14178 2596 14 0.54 2.85
China 91044 22 0.02 499 4739 0 0.00 5.21
Belarus 89642 733 0.82 11011 941 4 0.43 1.05
Venezuela 88035 391 0.45 12913 753 6 0.80 0.86
Bahrain 78907 374 0.48 8043 308 3 0.98 0.39
Austria 69409 1958 2.90 24596 925 11 1.20 1.33
Moldova 68791 833 1.23 15749 1630 13 0.80 2.37
Armenia 68530 1836 2.75 18171 1121 20 1.82 1.64
Lebanon 65577 1241 1.93 25943 536 5 0.94 0.82
Uzbekistan 64010 179 0.28 7293 534 0 0.00 0.83
Nigeria 61667 37 0.06 2819 1125 0 0.00 1.82
Singapore 57933 12 0.02 168 28 0 0.00 0.05
Paraguay 56819 746 1.33 16061 1250 19 1.54 2.20
Algeria 55081 252 0.46 3551 1880 7 0.37 3.41
Kyrgyzstan 53459 549 1.04 6790 1118 5 0.45 2.09
Ireland 53422 1166 2.23 17267 1868 3 0.16 3.50
Libya 51625 719 1.41 17100 765 19 2.55 1.48
Hungary 50180 1423 2.92 23719 1259 48 3.96 2.51
West Bank and Gaza 48628 499 1.04 8729 427 6 1.43 0.88
Ghana 47461 0 0.00 835 312 0 0.00 0.66
Azerbaijan 46593 714 1.56 6364 642 7 1.10 1.38
Kenya 46144 497 1.09 7615 858 16 1.90 1.86
Tunisia 45892 1442 3.24 27479 740 29 4.08 1.61
Jordan 43620 2648 6.46 31795 443 29 7.00 1.02
Afghanistan 40510 153 0.38 1242 1501 2 0.13 3.71
Burma 39696 1194 3.10 26323 972 27 2.86 2.45
Denmark 37507 630 1.71 9028 690 2 0.29 1.84
Serbia 37120 512 1.40 3569 780 0 0.00 2.10
Bosnia and Herzegovina 36315 926 2.62 8846 1031 14 1.38 2.84
Slovakia 33602 2202 7.01 23461 98 0 0.00 0.29
Bulgaria 33335 1472 4.62 12502 1048 29 2.85 3.14
El Salvador 32120 145 0.45 3043 933 4 0.43 2.90
Croatia 28287 1424 5.30 11694 393 11 2.88 1.39
Australia 27458 15 0.05 362 905 0 0.00 3.30
Greece 27334 865 3.27 8859 534 6 1.14 1.95
Korea, South 25543 119 0.47 1654 453 3 0.67 1.77
North Macedonia 24836 640 2.65 6859 862 12 1.41 3.47
Malaysia 22957 732 3.29 11733 199 6 3.11 0.87
Cameroon 21570 0 0.00 732 425 0 0.00 1.97
Georgia 21208 1351 6.80 15016 172 14 8.86 0.81
Cote d’Ivoire 20363 21 0.10 639 121 0 0.00 0.59
Albania 17948 297 1.68 4299 462 4 0.87 2.57
Kosovo 17263 124 0.72 1643 657 0 0.00 3.81
Norway 16964 192 1.14 2937 279 1 0.36 1.64
Madagascar 16810 0 0.00 402 238 0 0.00 1.42
Montenegro 16069 177 1.11 5297 250 3 1.21 1.56
Zambia 16000 18 0.11 1241 346 0 0.00 2.16
Slovenia 15982 1509 10.43 10292 200 8 4.17 1.25
Senegal 15484 25 0.16 502 321 1 0.31 2.07
Finland 14071 222 1.60 4079 355 4 1.14 2.52
Sudan 13724 0 0.00 84 836 0 0.00 6.09
Namibia 12406 39 0.32 1141 133 1 0.76 1.07
Luxembourg 11671 430 3.83 3162 138 2 1.47 1.18
Guinea 11599 61 0.53 947 70 0 0.00 0.60
Mozambique 11331 141 1.26 2603 79 1 1.28 0.70
Maldives 11316 45 0.40 1025 37 0 0.00 0.33
Congo (Kinshasa) 11066 0 0.00 407 303 0 0.00 2.74
Uganda 10933 145 1.34 2804 98 1 1.03 0.90
Tajikistan 10613 39 0.37 844 80 0 0.00 0.75

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 886939 3193 0.36 67824 17167 112 0.66 1.94 22447.21 434.47 1 in 45
Texas 868981 6704 0.78 95962 17652 94 0.54 2.03 29969.12 608.78 1 in 33
Florida 762533 2144 0.28 56017 16210 105 0.65 2.13 35503.41 754.74 1 in 28
New York 488506 2026 0.42 29857 33371 5 0.01 6.83 25111.39 1715.42 1 in 40
Illinois 358799 4342 1.22 63079 9605 68 0.71 2.68 28314.71 757.98 1 in 35
Georgia 343750 1312 0.38 25724 7704 30 0.39 2.24 32376.03 725.60 1 in 31
North Carolina 250592 1842 0.74 39960 4032 40 1.00 1.61 23893.02 384.44 1 in 42
Tennessee 235861 2292 0.98 39722 2970 18 0.61 1.26 34517.05 434.64 1 in 29
Arizona 233912 975 0.42 15405 5854 17 0.29 2.50 30717.70 768.76 1 in 33
New Jersey 223223 1030 0.46 17948 16245 18 0.11 7.28 25131.53 1828.94 1 in 40
Pennsylvania 191333 1363 0.72 27234 8546 30 0.35 4.47 14945.57 667.55 1 in 67
Ohio 188005 2366 1.27 34018 5149 66 1.30 2.74 16083.79 440.50 1 in 62
Wisconsin 182687 4205 2.36 60413 1681 48 2.94 0.92 31376.40 288.71 1 in 32
Louisiana 177399 718 0.41 11366 5784 12 0.21 3.26 38160.22 1244.19 1 in 26
Alabama 175674 1146 0.66 20973 2828 23 0.82 1.61 35828.55 576.77 1 in 28
Virginia 168260 990 0.59 20168 3511 29 0.83 2.09 19712.92 411.34 1 in 51
Michigan 167872 1878 1.13 29858 7418 35 0.47 4.42 16809.29 742.78 1 in 59
South Carolina 166357 864 0.52 18415 3708 12 0.32 2.23 32310.40 720.18 1 in 31
Missouri 163275 1426 0.88 36560 2650 25 0.95 1.62 26603.16 431.78 1 in 38
Indiana 152396 1732 1.15 32377 4023 15 0.37 2.64 22636.82 597.57 1 in 44
Massachusetts 146166 702 0.48 14050 9780 22 0.23 6.69 21032.58 1407.29 1 in 48
Maryland 137236 492 0.36 12511 4058 8 0.20 2.96 22699.85 671.22 1 in 44
Minnesota 126591 1060 0.84 27457 2334 35 1.52 1.84 22446.68 413.86 1 in 45
Mississippi 112123 801 0.72 13933 3223 21 0.66 2.87 37673.85 1082.94 1 in 27
Oklahoma 110855 1307 1.19 23656 1210 19 1.60 1.09 28015.12 305.79 1 in 36
Iowa 110250 1048 0.96 21003 1594 18 1.14 1.45 34943.76 505.22 1 in 29
Arkansas 101596 1155 1.15 17899 1751 23 1.33 1.72 33665.31 580.22 1 in 30
Washington 99874 724 0.73 12352 2286 4 0.18 2.29 13115.61 300.20 1 in 76
Utah 98006 1363 1.41 24964 557 6 1.09 0.57 30569.96 173.74 1 in 33
Nevada 92064 565 0.62 12084 1732 5 0.29 1.88 29889.40 562.31 1 in 33
Kentucky 90996 1452 1.62 22156 1363 21 1.56 1.50 20367.65 305.08 1 in 49
Colorado 88826 1267 1.45 18311 2194 12 0.55 2.47 15424.57 380.99 1 in 65
Kansas 73485 1306 1.81 14445 914 19 2.12 1.24 25223.85 313.73 1 in 40
Connecticut 64871 416 0.65 7321 4567 8 0.18 7.04 18195.17 1280.96 1 in 55
Nebraska 60308 899 1.51 14744 576 11 1.95 0.96 31176.46 297.77 1 in 32
Puerto Rico 58830 187 0.32 10075 774 5 0.65 1.32 18420.68 242.35 1 in 54
Idaho 55650 987 1.81 13602 546 11 2.06 0.98 31053.56 304.68 1 in 32
Oregon 40443 307 0.76 6934 635 2 0.32 1.57 9588.79 150.55 1 in 104
New Mexico 38715 819 2.16 9280 950 8 0.85 2.45 18463.59 453.07 1 in 54
South Dakota 35044 587 1.70 12655 333 3 0.91 0.95 39613.00 376.42 1 in 25
North Dakota 34165 499 1.48 12319 422 10 2.43 1.24 44832.31 553.76 1 in 22
Rhode Island 29123 474 1.65 4375 1169 5 0.43 4.01 27491.10 1103.50 1 in 36
Montana 24712 619 2.57 11641 275 23 9.13 1.11 23121.73 257.30 1 in 43
Delaware 23375 50 0.21 2762 670 2 0.30 2.87 24004.79 688.05 1 in 42
West Virginia 20735 215 1.05 4885 414 3 0.73 2.00 11602.29 231.65 1 in 86
District of Columbia 16498 53 0.32 1172 642 0 0.00 3.89 23376.58 909.67 1 in 43
Hawaii 14233 77 0.54 1823 203 14 7.41 1.43 10052.46 143.37 1 in 99
Alaska 11602 211 1.85 3778 68 1 1.49 0.59 15859.58 92.95 1 in 63
New Hampshire 9917 89 0.91 1651 469 1 0.21 4.73 7293.46 344.93 1 in 137
Wyoming 9848 322 3.38 3900 61 0 0.00 0.62 17015.72 105.40 1 in 59
Maine 6024 37 0.62 635 146 0 0.00 2.42 4481.44 108.61 1 in 223
Vermont 1971 15 0.77 219 58 0 0.00 2.94 3158.71 92.95 1 in 317

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17293139 886939 5.13 2587937 67824 2.62 437665.5
2 Texas 7474874 868981 11.63 1237717 95962 7.75 257790.9
3 Florida 5767947 762533 13.22 466763 56017 12.00 268554.7
4 New York 13197504 488506 3.70 2450191 29857 1.22 678410.7
5 Illinois 6953692 358799 5.16 1326381 63079 4.76 548752.4
6 Georgia 3327836 343750 10.33 394157 25724 6.53 313431.6
7 North Carolina 3692043 250592 6.79 657172 39960 6.08 352022.6
8 Tennessee 3416255 235861 6.90 531899 39722 7.47 499951.4
9 Arizona 1657389 233912 14.11 199814 15405 7.71 217651.0
10 New Jersey 4264123 223223 5.23 651091 17948 2.76 480075.6
11 Pennsylvania 2353833 191333 8.13 315739 27234 8.63 183864.6
12 Ohio 4011513 188005 4.69 845578 34018 4.02 343184.1
13 Wisconsin 1910755 182687 9.56 358385 60413 16.86 328171.2
14 Louisiana 2631404 177399 6.74 312800 11366 3.63 566040.1
15 Alabama 1273523 175674 13.79 141484 20973 14.82 259733.8
16 Virginia 2431736 168260 6.92 381748 20168 5.28 284896.1
17 Michigan 4420831 167872 3.80 772969 29858 3.86 442664.9
18 South Carolina 1633549 166357 10.18 324451 18415 5.68 317273.2
19 Missouri 2326868 163275 7.02 1022483 36560 3.58 379127.5
20 Indiana 2574800 152396 5.92 1194950 32377 2.71 382459.3
21 Massachusetts 5366394 146166 2.72 1315777 14050 1.07 772198.2
22 Maryland 3138875 137236 4.37 1520868 12511 0.82 519193.0
23 Minnesota 2539376 126591 4.99 509209 27457 5.39 450273.3
24 Mississippi 841667 112123 13.32 104634 13933 13.32 282804.0
25 Oklahoma 1478225 110855 7.50 274197 23656 8.63 373574.9
26 Iowa 842542 110250 13.09 77675 21003 27.04 267043.8
27 Arkansas 1242752 101596 8.18 213035 17899 8.40 411803.9
28 Washington 2252788 99874 4.43 398389 12352 3.10 295839.7
29 Utah 993995 98006 9.86 164025 24964 15.22 310046.2
30 Nevada 769613 92064 11.96 71517 12084 16.90 249861.7
31 Kentucky 1714875 90996 5.31 338888 22156 6.54 383840.8
32 Colorado 1724038 88826 5.15 382858 18311 4.78 299377.8
33 Kansas 605509 73485 12.14 84059 14445 17.18 207842.0
34 Connecticut 2070126 64871 3.13 476133 7321 1.54 580633.8
35 Nebraska 549922 60308 10.97 94284 14744 15.64 284284.4
37 Idaho 357833 55650 15.55 51127 13602 26.60 199676.4
38 Oregon 799935 40443 5.06 114062 6934 6.08 189659.8
39 New Mexico 1070481 38715 3.62 155495 9280 5.97 510523.8
40 South Dakota 236250 35044 14.83 45481 12655 27.82 267052.0
41 North Dakota 752495 34165 4.54 139008 12319 8.86 987445.9
42 Rhode Island 998560 29123 2.92 228738 4375 1.91 942606.0
43 Montana 447994 24712 5.52 104836 11641 11.10 419164.7
44 Delaware 331480 23375 7.05 44918 2762 6.15 340411.0
45 West Virginia 696597 20735 2.98 135029 4885 3.62 389781.6
46 District of Columbia 476443 16498 3.46 88583 1172 1.32 675088.4
47 Hawaii 482982 14233 2.95 186481 1823 0.98 341119.8
48 Alaska 547140 11602 2.12 89933 3778 4.20 747923.9
49 New Hampshire 552925 9917 1.79 113953 1651 1.45 406648.9
50 Wyoming 121670 9848 8.09 20510 3900 19.02 210225.7
51 Maine 560810 6024 1.07 125710 635 0.51 417203.5
52 Vermont 180694 1971 1.09 17967 219 1.22 289578.8

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1625197 7539 0.47 1431856 88.10 150011 42831 198 0.46 2.64
Andhra Pradesh 796919 3620 0.46 758138 95.13 32257 6524 16 0.25 0.82
Karnataka 788551 5778 0.74 684835 86.85 92927 10770 74 0.69 1.37
Tamil Nadu 700193 3077 0.44 655170 93.57 34198 10825 45 0.42 1.55
Uttar Pradesh 463858 2383 0.52 427937 92.26 29131 6790 35 0.52 1.46
Kerala 369324 7482 2.07 274675 74.37 93291 1256 23 1.87 0.34
Delhi 344318 3882 1.14 312918 90.88 25237 6163 35 0.57 1.79
West Bengal 337283 4157 1.25 294911 87.44 36064 6308 64 1.02 1.87
Odisha 276094 1913 0.70 257041 93.10 17804 1249 15 1.22 0.45
Telangana 229001 2877 1.27 207326 90.53 20377 1298 11 0.85 0.57
Bihar 209296 1058 0.51 197193 94.22 11076 1026 7 0.69 0.49
Assam 203282 508 0.25 177659 87.40 24724 896 7 0.79 0.44
Rajasthan 180755 1822 1.02 160614 88.86 18341 1800 12 0.67 1.00
Chhattisgarh 170130 2491 1.49 143212 84.18 25238 1680 44 2.69 0.99
Madhya Pradesh 164341 1045 0.64 149353 90.88 12146 2842 14 0.50 1.73
Gujarat 164121 1136 0.70 146408 89.21 14043 3670 7 0.19 2.24
Haryana 154495 1128 0.74 142798 92.43 10009 1688 14 0.84 1.09
Punjab 129693 605 0.47 121155 93.42 4466 4072 12 0.30 3.14
Jharkhand 98610 549 0.56 91629 92.92 6122 859 8 0.94 0.87
Jammu and Kashmir 90166 584 0.65 80802 89.61 7952 1412 10 0.71 1.57
Uttarakhand 59508 402 0.68 53200 89.40 4897 968 8 0.83 1.63
Goa 41586 247 0.60 38031 91.45 2991 564 7 1.26 1.36
Puducherry 33832 210 0.62 29211 86.34 4039 582 2 0.34 1.72
Tripura 29922 125 0.42 27229 91.00 2339 331 2 0.61 1.11
Himachal Pradesh 19844 487 2.52 16911 85.22 2623 279 10 3.72 1.41
Manipur 16621 345 2.12 12393 74.56 4101 127 3 2.42 0.76
Arunachal Pradesh 14077 165 1.19 11407 81.03 2638 32 1 3.23 0.23
Chandigarh 13848 51 0.37 12924 93.33 712 212 3 1.44 1.53
Meghalaya 8677 0 0.00 6779 78.13 1821 77 0 0.00 0.89
Nagaland 8296 157 1.93 6400 77.15 1803 21 0 0.00 0.25
Ladakh 5812 31 0.54 4902 84.34 842 68 1 1.49 1.17
Andaman and Nicobar Islands 4184 16 0.38 3937 94.10 190 57 1 1.79 1.36
Sikkim 3677 0 0.00 3280 89.20 253 63 0 0.00 1.71
Dadra and Nagar Haveli and Daman and Diu 3209 2 0.06 3137 97.76 45 2 0 0.00 0.06
Mizoram 2359 49 2.12 2175 92.20 184 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2575003 134604 4125 3.16 5.23 1521 134 29890 17123 12.72
Piemonte 895399 48118 1799 3.88 5.37 1111 74 13435 4216 8.76
Emilia-Romagna 1417038 42588 671 1.60 3.01 596 86 10800 4531 10.64
Veneto 2178114 38265 1422 3.86 1.76 439 56 11433 2282 5.96
Campania 802965 30484 1760 6.13 3.80 996 85 21101 545 1.79
Lazio 1205529 28370 1219 4.49 2.35 1226 129 17403 1054 3.72
Toscana 950782 25466 866 3.52 2.68 503 76 12239 1221 4.79
Liguria 389326 19891 546 2.82 5.11 547 31 4621 1656 8.33
Sicilia 614264 13790 562 4.25 2.24 565 83 7850 389 2.82
Puglia 502331 12325 324 2.70 2.45 438 42 5991 644 5.23
Marche 289086 9871 226 2.34 3.41 115 19 2377 997 10.10
P.A. Trento 266366 7166 148 2.11 2.69 48 2 848 420 5.86
Friuli Venezia Giulia 486925 6855 219 3.30 1.41 76 16 2106 367 5.35
Abruzzo 253175 6786 252 3.86 2.68 212 14 3091 500 7.37
Sardegna 235250 6643 167 2.58 2.82 236 36 3811 180 2.71
Umbria 262392 5453 350 6.86 2.08 152 20 2955 95 1.74
P.A. Bolzano 208717 5302 189 3.70 2.54 96 7 2080 296 5.58
Calabria 245158 3099 136 4.59 1.26 81 6 1380 105 3.39
Valle d’Aosta 35990 2132 111 5.49 5.92 42 5 831 146 6.85
Basilicata 91337 1398 85 6.47 1.53 48 4 775 39 2.79
Molise 56882 1042 22 2.16 1.83 9 1 425 26 2.50

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 96288 1072 1.13 6074 19 0.31 6.31 11278.01 711.43 1 in 89
Ontario 69362 806 1.18 3115 8 0.26 4.49 4714.71 211.73 1 in 212
Alberta 23402 406 1.77 296 3 1.02 1.26 5302.79 67.07 1 in 189
British Columbia 12057 203 1.71 256 2 0.79 2.12 2359.07 50.09 1 in 424
Manitoba 3626 135 3.87 43 1 2.38 1.19 2632.27 31.22 1 in 380
Saskatchewan 2496 57 2.34 25 0 0.00 1.00 2112.27 21.16 1 in 473
Nova Scotia 1097 0 0.00 65 0 0.00 5.93 1122.30 66.50 1 in 891
New Brunswick 319 6 1.92 4 1 33.33 1.25 408.98 5.13 1 in 2445
Newfoundland and Labrador 287 0 0.00 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 17 0 0.00 0 0 NaN 0.00 413.85 0.00 1 in 2416
Northwest Territories 8 2 33.33 0 0 NaN 0.00 178.16 0.00 1 in 5613

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5269 105 1.99
Guangdong 1895 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1105 7 0.63
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 938 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 733 3 0.41
Jiangsu 670 0 0.00
Chongqing 587 6 1.02
Shaanxi 438 3 0.68
Fujian 420 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 256 3 1.17
Yunnan 211 2 0.95
Shanxi 209 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 25476.87 679.02 1 in 39
India 5755.75 87.09 1 in 174
Brazil 25316.64 742.49 1 in 39
Russia 9953.07 171.53 1 in 100
Argentina 23431.78 621.62 1 in 43
Spain 21545.11 736.52 1 in 46
France 14933.11 508.66 1 in 67
Colombia 20006.11 600.45 1 in 50
Peru 27171.84 1053.00 1 in 37
Mexico 6714.85 676.59 1 in 149
United Kingdom 11923.45 665.98 1 in 84
South Africa 12488.70 330.41 1 in 80
Iran 6718.65 386.22 1 in 149
Chile 27459.11 760.06 1 in 36
Italy 7434.66 608.99 1 in 135
Iraq 11451.92 272.22 1 in 87
Germany 4806.40 119.71 1 in 208
Bangladesh NA NA 1 in NA
Indonesia 1413.29 48.70 1 in 708
Philippines 3453.22 64.32 1 in 290

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 290486 6944 2.39
Miami-Dade Florida 179644 3572 1.99
Cook Illinois 168139 5382 3.20
Harris Texas 156035 2750 1.76
Maricopa Arizona 151527 3532 2.33
Dallas Texas 91313 1205 1.32
Broward Florida 81704 1519 1.86
Clark Nevada 76244 1487 1.95
Queens New York 75543 7288 9.65
Kings New York 73766 7374 10.00
Riverside California 65056 1275 1.96
Bexar Texas 63807 1385 2.17
San Bernardino California 60945 1065 1.75
Tarrant Texas 60795 796 1.31
Orange California 57635 1423 2.47
Bronx New York 54628 4980 9.12
San Diego California 53263 863 1.62
Palm Beach Florida 49380 1553 3.14
Nassau New York 48864 2204 4.51
Suffolk New York 48234 2016 4.18
Hillsborough Florida 45948 755 1.64
Orange Florida 44112 533 1.21
Salt Lake Utah 42276 294 0.70
Philadelphia Pennsylvania 41323 1851 4.48
Westchester New York 39694 1460 3.68
Wayne Michigan 38910 3031 7.79
Milwaukee Wisconsin 36706 559 1.52
New York New York 35249 3192 9.06
El Paso Texas 34760 579 1.67
Shelby Tennessee 34739 553 1.59
Hidalgo Texas 34343 1899 5.53
Kern California 33551 413 1.23
Duval Florida 33260 512 1.54
Hennepin Minnesota 32743 974 2.97
Mecklenburg North Carolina 32264 376 1.17
Prince George’s Maryland 31695 848 2.68
Travis Texas 31228 448 1.43
Franklin Ohio 31221 639 2.05
Middlesex Massachusetts 30502 2232 7.32
Fresno California 30220 430 1.42
Davidson Tennessee 30155 328 1.09
Fulton Georgia 30141 612 2.03
Gwinnett Georgia 29916 436 1.46
St. Louis Missouri 28626 860 3.00
Pima Arizona 27128 635 2.34
Suffolk Massachusetts 26787 1163 4.34
Utah Utah 26067 75 0.29
King Washington 25540 800 3.13
Marion Indiana 24905 785 3.15
Sacramento California 24811 474 1.91
Montgomery Maryland 24664 862 3.49
Pinellas Florida 24422 805 3.30
Bergen New Jersey 24066 2055 8.54
Cameron Texas 23871 1070 4.48
Oakland Michigan 23608 1228 5.20
Santa Clara California 23591 382 1.62
Alameda California 22932 435 1.90
Essex New Jersey 22877 2137 9.34
Fairfax Virginia 22849 604 2.64
Jefferson Alabama 22720 374 1.65
Essex Massachusetts 22446 1331 5.93
Oklahoma Oklahoma 22422 219 0.98
Lee Florida 22198 499 2.25
Polk Florida 22061 593 2.69
Hudson New Jersey 22004 1524 6.93
Fairfield Connecticut 21898 1429 6.53
Providence Rhode Island 21543 930 4.32
DuPage Illinois 21470 603 2.81
San Joaquin California 21436 484 2.26
Cobb Georgia 21367 449 2.10
Middlesex New Jersey 21229 1441 6.79
Nueces Texas 21058 438 2.08
Tulsa Oklahoma 20805 193 0.93
Douglas Nebraska 20690 216 1.04
DeKalb Georgia 20482 391 1.91
Jefferson Kentucky 20172 339 1.68
Passaic New Jersey 20160 1260 6.25
Wake North Carolina 20015 267 1.33
Lake Illinois 19856 507 2.55
Baltimore Maryland 19799 656 3.31
Cuyahoga Ohio 19586 682 3.48
Union New Jersey 19044 1364 7.16
Jefferson Louisiana 18441 581 3.15
Contra Costa California 18273 238 1.30
Polk Iowa 18245 283 1.55
Rockland New York 17453 680 3.90
Stanislaus California 17403 394 2.26
Macomb Michigan 17368 1070 6.16
Will Illinois 17354 424 2.44
Fort Bend Texas 17351 303 1.75
Tulare California 17317 279 1.61
Collin Texas 17122 173 1.01
Baltimore City Maryland 17000 497 2.92
Richmond New York 16860 1092 6.48
Richland South Carolina 16796 265 1.58
Hartford Connecticut 16795 1459 8.69
Charleston South Carolina 16770 271 1.62
Greenville South Carolina 16659 334 2.00
District of Columbia District of Columbia 16498 642 3.89
Hamilton Ohio 16496 343 2.08

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc